Binary Neural Networks (BNNs) offer an effective way to slash the cost of computation and memory accesses in inference. Recently, a plurality of ideas has been proposed, some of which are ...

Synthesis, crystal structures, and chemical bonding are reported for four binary phosphides with different degrees of phosphorus oligomerization, ranging from isolated P atoms to infinite phosphorus ...

Variables were entered into multivariate stepwise binary logistic regression in order of univariate significance, with IPO the dependent variable. Variables with p<0.05 in multivariate analysis, or ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Logistic regression analysis was used to confirm the descriptive findings comparing respondents to non-respondents and to examine whether an interaction between age and number of comorbidities ...

Objective There is a paucity of data relating to neurodevelopmental outcomes in infants born late and moderately preterm (LMPT; 32+0–36+6 weeks). This paper present the results of a prospective, ...

implementasi dan analisis Multivariate Analysis of Covariance (MANCOVA) menggunakan dataset Adult Income dari UCI Machine Learning Repository. Analisis ini bertujuan untuk mengetahui pengaruh variabel ...

Bold type denotes the differences between the operation and failure of component 6. Furthermore, the analytical approach can be used to compute the BI, IP, and RR measures of component 6 at states j = ...

In this paper, the communication direction problem of a two-sensor tandem binary decision system is considered. Rigorous analysis shows that the performance of communication from the sensor with ...

However, in the multivariate regression analysis, the gradient of completion rates across IMD quintiles remained significant after adjusting for these variables. The relationship between IMD quintile ...